AI Transformation Consultant

Key responsibilities

• Work with business leaders and operational teams to identify challenges, assess AI readiness and prioritise opportunities across sales, marketing, services and other business functions.
• Develop AI transformation roadmaps, business cases and implementation plans aligned with business objectives, data readiness and governance requirements.

• Translate business needs into use cases, workflows, functional requirements and success metrics for generative AI, AI agents and workflow automation solutions.
• Guide solution design, prototyping, testing and pilot delivery, collaborating with internal technology teams and external solution providers.

• Evaluate AI technologies, startups and vendors for business fit, technical capability, security, scalability and enterprise readiness.
• Coordinate stakeholders across business, IT, security, privacy, compliance and procurement to support implementation and adoption.

• Design and deliver practical training and workshops covering AI literacy, prompt engineering, AI agents and productivity tools.
• Advise on emerging technologies, including edge AI and on-device AI, and communicate their business implications.

• Track pilot outcomes, document lessons learned and recommend improvements or opportunities to scale successful solutions.

Requirements

• At least 10 years of relevant experience across technology consulting, digital transformation, product management or enterprise solution delivery, including practical experience delivering AI initiatives.
• Demonstrated ability to translate business problems into actionable AI use cases and guide initiatives from discovery through pilot evaluation and adoption.

• Strong understanding of generative AI, large language models, AI agents, workflow automation and enterprise integration considerations.
• Experience assessing technology vendors and working with multidisciplinary teams in enterprise environments.

• Understanding of responsible AI, data privacy, information security and governance considerations.
• Strong stakeholder management, analytical, presentation and facilitation skills, with the ability to engage both technical and non-technical audiences.

• Computer Engineering, Electrical Engineering, Information Systems or a related discipline.